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   <div id="projectname">Caffe
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<div class="textblock">Here is a list of all documented class members with links to the class documentation for each member:</div>

<h3><a id="index_s"></a>- s -</h3><ul>
<li>scale_
: <a class="el" href="classcaffe_1_1DropoutLayer.html#ac8702c053de0fea389f5a0ded8cdc544">caffe::DropoutLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1PowerLayer.html#a6684b2c6c2b2047d58c9d2809b86c39c">caffe::PowerLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxLayer.html#a22a5348d7a31c512ac9d5dcfc066d4b1">caffe::SoftmaxLayer&lt; Dtype &gt;</a>
</li>
<li>scale_data()
: <a class="el" href="classcaffe_1_1Blob.html#a535dd556e777f2e13b8c7438f40749a0">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>scale_diff()
: <a class="el" href="classcaffe_1_1Blob.html#a6d2d83920d961fff033434347f64a3b0">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>set_loss()
: <a class="el" href="classcaffe_1_1Layer.html#a899b09f4b91ada8545b3a43ee91e0d69">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>set_param_propagate_down()
: <a class="el" href="classcaffe_1_1Layer.html#a9a6fcb843803ed556f0a69cc2864379b">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>SetLossWeights()
: <a class="el" href="classcaffe_1_1Layer.html#a04eb2a3d1d59c64cd64c233217d5d6fc">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>SetUp()
: <a class="el" href="classcaffe_1_1Layer.html#a18d6bfdb535ab8e96a971dec4ae39a84">caffe::Layer&lt; Dtype &gt;</a>
</li>
<li>shape()
: <a class="el" href="classcaffe_1_1Blob.html#a807f4da98e8e0d1f60badb1f540fe010">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>ShareData()
: <a class="el" href="classcaffe_1_1Blob.html#a8fce5a816a2b9629686db69108610d93">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>ShareDiff()
: <a class="el" href="classcaffe_1_1Blob.html#a004781965b09f94c409cec9a6fc7c35c">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>ShareTrainedLayersWith()
: <a class="el" href="classcaffe_1_1Net.html#a3661ca5f30bf8e731cb54cfc3c320023">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>ShareWeights()
: <a class="el" href="classcaffe_1_1Net.html#a4850fdb3eea1b04c97642546c0dcccf7">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>shift_
: <a class="el" href="classcaffe_1_1PowerLayer.html#a3a3143c4d6735d12cb5a41b1cb623bc9">caffe::PowerLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_bottom_vec_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a52c3183799d44aa9e581992aee502409">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_layer_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a69e0c8d2106b4b06c7c896e3069f531c">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_output_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#a1eb4c2e90dd4807dbfb0806a411a7bea">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>sigmoid_top_vec_
: <a class="el" href="classcaffe_1_1SigmoidCrossEntropyLossLayer.html#af6719c9685fcf910129db20cceb47be5">caffe::SigmoidCrossEntropyLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_bottom_vec_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#ad919452e3fbb182cf56ded1e32ee001d">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#aa39f89b673da5e6f86c6b1f79ced1270">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_layer_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#a1992ffcac64ab6d61ebce80c7d9e8405">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a886b9e8c044917b03e7d2d04e713a05b">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>softmax_top_vec_
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#abce0ff34e57ed3660e39633535c97e41">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#a0fd219e185b46acce8fd74cb71dabf44">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>SoftmaxWithLossLayer()
: <a class="el" href="classcaffe_1_1SoftmaxWithLossLayer.html#ac3a01d6846a9b62c1790635d53185e81">caffe::SoftmaxWithLossLayer&lt; Dtype &gt;</a>
</li>
<li>split_layer_
: <a class="el" href="classcaffe_1_1SPPLayer.html#a9312cb2eb190ce25d9269d9319cf5e4b">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>split_top_vec_
: <a class="el" href="classcaffe_1_1SPPLayer.html#aa4c2a009d84367e72b98b3b8542e3a0f">caffe::SPPLayer&lt; Dtype &gt;</a>
</li>
<li>StartInternalThread()
: <a class="el" href="classcaffe_1_1InternalThread.html#acffc1d9bc9e78f4146ba2d16f593fca7">caffe::InternalThread</a>
</li>
<li>StateMeetsRule()
: <a class="el" href="classcaffe_1_1Net.html#a54e8c43fe3a0cd9bbbcfdefd2b1603d2">caffe::Net&lt; Dtype &gt;</a>
</li>
<li>static_input_
: <a class="el" href="classcaffe_1_1RecurrentLayer.html#a7da45d2f90a99fe6e4250ffa6a533d97">caffe::RecurrentLayer&lt; Dtype &gt;</a>
</li>
<li>StopInternalThread()
: <a class="el" href="classcaffe_1_1InternalThread.html#ac72d8e2a23dbbe5203d5003dd67af73e">caffe::InternalThread</a>
</li>
<li>stride_
: <a class="el" href="classcaffe_1_1BaseConvolutionLayer.html#af638d3d8e67c33443cb11cb000368e73">caffe::BaseConvolutionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1Im2colLayer.html#afb9baa8216b65a8124d4d1d2b719da0f">caffe::Im2colLayer&lt; Dtype &gt;</a>
</li>
<li>sum_multiplier_
: <a class="el" href="classcaffe_1_1MVNLayer.html#ade50bbee48a55e637e8c3e3f44f9618a">caffe::MVNLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1ReductionLayer.html#a141288e2904ab45831a6af704561b473">caffe::ReductionLayer&lt; Dtype &gt;</a>
, <a class="el" href="classcaffe_1_1SoftmaxLayer.html#a3bfc4000b464ab32c73060a2d5c4e426">caffe::SoftmaxLayer&lt; Dtype &gt;</a>
</li>
<li>sum_rows_of_H()
: <a class="el" href="classcaffe_1_1InfogainLossLayer.html#a030296e6af30acd17a3cfe4463456147">caffe::InfogainLossLayer&lt; Dtype &gt;</a>
</li>
<li>sumsq_data()
: <a class="el" href="classcaffe_1_1Blob.html#a2ea640466fc339a02dabba4e8a1f0de2">caffe::Blob&lt; Dtype &gt;</a>
</li>
<li>sumsq_diff()
: <a class="el" href="classcaffe_1_1Blob.html#a2df1894f11323235f9d7c7a1f0fe010f">caffe::Blob&lt; Dtype &gt;</a>
</li>
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